Reconfigurable array design to realize principal component analysis (PCA)-based microwave compressive sensing imaging system

This letter presents a design of a principal component analysis (PCA)-based microwave compressive sensing system using reconfigurable array. An iterative beam synthesis process is used to realize the required radiation patterns obtained from PCA. In this letter, a human body scanning system is studied as an example to investigate the compressive sensing performance using PCA-generated radiation patterns. Optical images are used as surrogates for the RF images in implementation of the training PCA dictionary. Compared to random-patterns-based compressive sensing system, this PCA-based compressive sensing system requires fewer numbers of measurements to achieve the same performance.